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Eigenvector centrality
In graph theory, eigenvector centrality (also called eigencentrality) is a measure of the influence of a node in a network. It assigns relative…
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Related topics
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15 relations
Adjacency matrix
Alpha centrality
Centrality
Eigenvalue algorithm
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Broader (1)
Graph theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Power iteration ranking via hybrid diffusion for vital nodes identification
Tao Wu
,
Xingping Xian
,
Lin-Feng Zhong
,
Xi Xiong
,
H. Stanley
Physica A: Statistical Mechanics and its…
2018
Corpus ID: 47004115
2016
2016
Optimal rates for total variation denoising
Jan-Christian Hutter
,
P. Rigollet
2016
Corpus ID: 88514162
Motivated by its practical success, we show that the two-dimensional total variation denoiser satisfies a sharp oracle inequality…
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2016
2016
Attention in Organizations
A. Prat
,
Wouter Dessein
2016
Corpus ID: 1573817
Organizations —private firms, government agencies, and non-profit organizations — can be modeled as networks of agents who are…
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2016
2016
Identifying Key Opinion Leaders in Social Networks - An Approach to use Instagram Data to Rate and Identify Key Opinion Leader for a Specific Business Field
C. Egger
2016
Corpus ID: 63645716
This thesis focuses on the identification of influential users, also known as key opinion leaders, within the social network…
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2015
2015
Size Signals Success: Evidence from Real Estate Private Equity
Sebastian Krautz
,
F. Fuerst
Journal of Portfolio Management
2015
Corpus ID: 7793386
Anecdotal evidence suggests that clout and connections matter more in private equity fundraising than do actual performance. In…
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2012
2012
Payoff-based Inhomogeneous Partially Irrational Play for potential game theoretic cooperative control: Convergence analysis
Tatsuhiko Goto
,
T. Hatanaka
,
M. Fujita
American Control Conference
2012
Corpus ID: 31290774
This paper investigates learning algorithm design in potential game theoretic cooperative control, where it is in general…
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2007
2007
Eigenvector Centrality in Highly Partitioned Mobile Networks: Principles and Applications
Iacopo Carreras
,
D. Miorandi
,
G. Canright
,
Kenth Engø-Monsen
Advances in Biologically Inspired Information…
2007
Corpus ID: 10540536
Telenor R&ISnaroyveien 30N-1331 Fornebu (Norway)name.surname@telenor.comSummary. In this chapter we introduce a model for…
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2007
2007
Spatial‐scale partitioning of in situ turbulent flow data over a pebble cluster in a gravel‐bed river
R. Lacey
,
P. Legendre
,
A. Roy
2007
Corpus ID: 55791001
Spatial structures within turbulent flow data were investigated through the use of a new multivariate variation partitioning…
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2007
2007
Advice Networks and Local Diffusion of Technological Innovations
J. Barahona
,
A. Pentland
2007
Corpus ID: 18604974
Classical writers such as John Stuart Mill and Karl Marx speculated that the standard of living could not rise indefinitely…
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1981
1981
Objective analysis of air pollution monitoring network data; spatial interpolation and network density
N. V. Egmond
,
D. Onderdelinden
1981
Corpus ID: 27802848
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